Computer Vision & Multimedia Technologies

From multimedia data to intelligent understanding: discover the technologies that turn digital signals into tools for knowledge.

Download the CV&MT Curriculum Brochure [[Italian only]]

Scientific and Industrial Context

In recent years, computer vision and multimedia processing technologies have experienced exponential growth, driven by the rise of advanced artificial intelligence systems and the availability of massive amounts of visual and audiovisual data. The multimedia sector has undergone a radical transformation, with applications ranging from augmented and virtual reality to automated film production, intelligent surveillance systems, and autonomous driving. The ability to interpret, analyse, and manipulate visual data in real time has become crucial across a wide range of industrial domains, from the automotive to the medical sector, as well as entertainment and digital communications. This context has created a growing demand for professionals capable of developing technological solutions that optimise the management and analysis of multimedia content, addressing complex challenges such as data compression, automatic object detection, and the creation of immersive content. Furthermore, advanced image and video processing techniques are significantly enhancing industrial processes, with applications spanning predictive maintenance, automated production management, and beyond.

Educational Objectives

This study path aims to train experts with advanced skills in the design and development of systems for the automatic processing of images, videos, and multimedia data. The main objective is to provide students with the competencies needed to tackle complex technological challenges related to the interpretation and management of visual data, combining advanced theoretical knowledge with a practical, application-oriented approach. Students will learn to develop algorithms and tools for the automated processing and analysis of multimedia content, using state-of-the-art artificial intelligence and machine learning techniques. The programme also provides skills for integrating these systems into real industrial environments, where the ability to process visual data efficiently and accurately is essential. Finally, topics related to optimisation and scalability will be addressed, ensuring that the developed solutions are applicable in contexts requiring high data throughput and stringent performance. Upon completion, graduates will be equipped to work in strategic sectors such as digital entertainment, healthcare, industrial automation, and advanced communication technologies.

Career Opportunities

Graduates of this curriculum will be prepared for key roles in the technology sector, including Computer Vision Engineer, Multimedia Analyst, AI Specialist, Video Processing Expert, and Data Scientist. Opportunities span industries such as entertainment, healthcare, automotive, cybersecurity, robotics, and smart cities. The market for computer vision and multimedia technologies is rapidly expanding and demands experts capable of driving innovation.

Study Plan Details

Nome Completo Insegnamento

S.S.D.

CFU

 
 

 

 

 

 

Primo Semestre

Algoritmi e Complessità

INFO-01/A

9

 

Multimedia e Laboratorio (modulare)

    modulo Multimedia

    modulo Laboratorio

 

 

INFO-01/A

6

 

INFO-01/A

3

 

Crediti a Scelta /oppure/  Machine Learning

====

6

 

Deep Learning: Core Models and Methods

INFO-01/A

6

 

 

 

 

 

Secondo Semestre

Advanced Computer Graphics

INFO-01/A

6

 

Deep Learning: Advanced Models and Methods

INFO-01/A

6

 

Numerical Methods for Scientific Computing

MATH/05-A

6

 

Crediti a Scelta dello Studente

====

6

 

Insegnamento a Scelta dal Seguente Gruppo B1:

 

 

        Multimedia Forensics

INFO-01/A

6

 

        Computer Security

INFO-01/A

6

 

        Semantic Web

INFO-01/A

6

 

        Medical Imaging

INFO-01/A

6

 

 

 

 

 

Terzo Semestre

Multimedia Coding

INFO-01/A

6

 

Ottimizzazione

MATH/06-A

6

 

Ulteriori Conoscenze Linguistiche

====

3

 

Stages e tirocini

====

6

 

Insegnamento a Scelta dal Seguente Gruppo B2:

 

 

        Software Quality and Project Development

INFO-01/A

6

 

        Audio Processing

INFO-01/A

6

 

        Multimedia Security and Biometry

INFO-01/A

6

 

        Information Technology Law

INFO-01/A

6

 

 

 

 

 

Quarto Semestre

Computer Vision e Laboratorio (modulare)

    modulo Computer Vision

    modulo Laboratorio

 

 

INFO-01/A

6

 

INFO-01/A

3

 

Generative Artificial Intelligence

INFO-01/A

6

 

Prova finale

====

18

 

 

 

 

 

TOTALE  CFU

 

120